Evidence map›Paper›PMID 37852985›Full record

ArticleTranslational psychiatry2023

Association of polygenic risk for bipolar disorder with grey matter structure and white matter integrity in youth.

Xinyue Jiang, Clement C Zai, Kody G Kennedy, Yi Zou, Yuliya S Nikolova, Daniel Felsky, L Trevor Young, Bradley J MacIntosh, Benjamin I Goldstein

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Xinyue JiangCentre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-1776-7780
Clement C ZaiCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0496-7262
Kody G KennedyCentre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-4510-188X
Yi ZouCentre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-9288-7275
Yuliya S NikolovaCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-5144-3723
Daniel FelskyCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-1831-9848
L Trevor YoungDepartment of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada.
Bradley J MacIntoshSandra E Black Centre for Brain Resilience and Recovery, Sunnybrook Research Institute, Toronto, ON, Canada.
Benjamin I GoldsteinCentre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada. benjamin.goldstein@camh.ca.ORCID http://orcid.org/0000-0003-0340-349X
Centre for Addiction and Mental Health · CASunnybrook Health Science Centre · CA

Funding

CIHR 84414CIHR MOP 136947
6 · The paper itself

Abstract

There is a gap in knowledge regarding the polygenic underpinnings of brain anomalies observed in youth bipolar disorder (BD). This study examined the association of a polygenic risk score for BD (BD-PRS) with grey matter structure and white matter integrity in youth with and without BD. 113 participants were included in the analyses, including 78 participants with both T1-weighted and diffusion-weighted MRI images, 32 participants with T1-weighted images only, and 3 participants with diffusion-weighted images only. BD-PRS was calculated using PRS-CS-auto and was based on independent adult genome-wide summary statistics. Vertex- and voxel-wise analyses examined the associations of BD-PRS with grey matter metrics (cortical volume [CV], cortical surface area [CSA], cortical thickness [CTh]) and fractional anisotropy [FA] in the combined sample, and separately in BD and HC. In the combined sample of participants with T1-weighted images (n = 110, 66 BD, 44 HC), higher BD-PRS was associated with smaller grey matter metrics in frontal and temporal regions. In within-group analyses, higher BD-PRS was associated with lower CTh of frontal, temporal, and fusiform gyrus in BD, and with lower CV and CSA of superior frontal gyrus in HC. In the combined sample of participants with diffusion-weighted images (n = 81, 49 BD, 32 HC), higher BD-PRS was associated with lower FA in widespread white matter regions. In summary, BD-PRS calculated based on adult genetic data was negatively associated with grey matter structure and FA in youth in regions implicated in BD, which may suggest neuroimaging markers of vulnerability to BD. Future longitudinal studies are needed to examine whether BD-PRS predicts neurodevelopmental changes in BD vs. HC and its interaction with course of illness and long-term medication use.

Indexed as

Bipolar DisorderWhite MatterAdolescentAdultBrainGray MatterHumansNeuroimagingPrefrontal Cortex

Identifiers

PMID37852985
PMCPMC10584947
OpenAlexW4387733321

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.